Halfway to 3D: Ensembling 2.5D and 3D Models for Robust COVID-19 CT Diagnosis
Halfway to 3D: Ensembling 2.5D and 3D Models for Robust COVID-19 CT Diagnosis explores A deep learning framework that enhances COVID-19 detection from chest CT scans by integrating 2.5D and 3D models for improved accuracy.. Commercial viability score: 8/10 in Medical AI.
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